Huang, Chung-YuanChung-YuanHuangSun, Chuen-TsaiChuen-TsaiSunHsieh, Ji-LungJi-LungHsiehChen, Yi-Ming ArthurYi-Ming ArthurChenLin, HolinHolinLin2010-07-292018-06-282010-07-292018-06-282005http://ntur.lib.ntu.edu.tw//handle/246246/190192http://ntur.lib.ntu.edu.tw/bitstream/246246/190192/1/06.pdfThe authors propose a small-world network model that combines cellular automata with the social mirror identities of daily-contact networks for purposes of performing epidemiological simulations. The social mirror identity concept was established to integrate human long-distance movement and daily visits to fixed locations. After showing that the model is capable of displaying such small-world effects as low degree of separation and relatively high degree of clustering on a societal level, the authors offer proof of its ability to display R 0 properties—considered central to all epidemiological studies. To test their model, they simulated the 2003 severe acute respiratory syndrome (SARS) outbreak. ? 2005, Sage Publications. All rights reserved.896144 bytesapplication/pdfen-UScellular automata; multiagent system; network-based epidemic simulations; public health policy; small-world network model; Social mirror identity[SDGs]SDG3Automata theory; Epidemiology; Health care; Mathematical models; Multi agent systems; Public policy; Cellular automata; Network-based epidemic simulations; Novel small-world model; Public health policy; Social mirror identities; Computer simulationjournal article10.1177/0037549705061519http://ntur.lib.ntu.edu.tw/bitstream/246246/190192/1/06.pdf